Function f(x,y,z) of three variables becomes z = g(x,y)

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SUMMARY

The discussion centers on expressing the variable z as a function of x and y from the function f(x,y,z) on a level surface defined by f(x,y,z) = C. The key condition for this transformation is that the partial derivative ∂f/∂z must be non-zero (specifically, ∂f/∂z > 0 or ∂f/∂z < 0). This ensures that there exists a unique solution for z given (x,y), allowing z to be expressed as g(x,y). The geometric interpretation involves the gradient vector ∇f being perpendicular to the tangent plane, which guarantees that z can be a smooth, single-valued function of x and y.

PREREQUISITES
  • Understanding of partial derivatives, specifically ∂f/∂z
  • Familiarity with level surfaces and implicit functions
  • Knowledge of gradient vectors and their geometric interpretations
  • Basic principles of differential equations
NEXT STEPS
  • Study the Implicit Function Theorem and its applications
  • Learn about the geometric interpretation of gradient vectors in multivariable calculus
  • Explore the conditions for unique solutions in partial differential equations
  • Investigate the implications of non-zero partial derivatives in multivariable functions
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Students and professionals in mathematics, particularly those studying calculus and differential equations, as well as educators seeking to clarify the relationship between variables in multivariable functions.

tomkoolen
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Hello everyone,

I have a theoretical calculus question. I am working on a exercise where you have to consider f(x,y,z) and express the variable z as a function of x and y on a certain level surface around a certain (x0,y0,z0).

I found out that the condition for this to be able is that the triple (x0,y0,z0) is such that ∂f/∂z > 0. I am able to do the rest of the exercise because I know the rules as to how to find derivatives of this g(x,y) and other things, but I want to know exactly why the condition stated above works.

What I can think of myself: There has to be a positive change in f when z changes is the meaning of the condition. I must be overlooking something, because I don't see why this makes z expressable in terms of x and y. If anyone could clarify, thank you very much!

Kind regards,
Tom
 
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tomkoolen said:
Hello everyone,

I have a theoretical calculus question. I am working on a exercise where you have to consider f(x,y,z) and express the variable z as a function of x and y on a certain level surface around a certain (x0,y0,z0).

I found out that the condition for this to be able is that the triple (x0,y0,z0) is such that ∂f/∂z > 0. I am able to do the rest of the exercise because I know the rules as to how to find derivatives of this g(x,y) and other things, but I want to know exactly why the condition stated above works.

What I can think of myself: There has to be a positive change in f when z changes is the meaning of the condition. I must be overlooking something, because I don't see why this makes z expressable in terms of x and y. If anyone could clarify, thank you very much!

Kind regards,
Tom

No need to write in bold. Could you maybe give the question?
 
Sorry I didn't see I was writing in bold.
The question is: Why does the condition ∂f/∂z > 0 make g(x,y) exist on the level surface? I don't understand the theory behind it.
 
To write z = g(x,y) you need z to be uniquely determined by (x,y). In other words, f(x,y,z) = C must have a unique solution for z given (x,y). This can be guaranteed by insisting that \frac{\partial f}{\partial z} &gt;0 so that given (x,y) there is at most one z such that f(x,y,z) = C.
 
tomkoolen said:
Sorry I didn't see I was writing in bold.
The question is: Why does the condition ∂f/∂z > 0 make g(x,y) exist on the level surface? I don't understand the theory behind it.

First of all: it works equally well if ##\partial f /\partial z < 0## instead. All you need is ##\partial f /\partial z \neq 0##.

Denote the partial derivatives by subscripts, so that ##f_x = \partial f/\partial x##, etc. Geometrically: the gradient vector ##\nabla f = (f_x, f_y, f_z)## is perpendicular to the tangent plane of ##f## at ##(x,y,z)##, so if ##f_z(x_0,y_0,z_0) = 0## the tangent plane is vertical (parallel to the ##z##-axis) at ##(x_0,y_0,z_0)##. That means that ##z## could not be a nice, smooth, single-valued function of ##x## and ##y## in the immediate vicinity of ##(x_0,y_0)##.

Alternatively, from ##f(x,,y,z) =0## we have ##f_x dx + f_y dy + f_z dz = 0##, so if ##f_z \neq 0## we can divide through by it to get
dz = -\frac{f_z}{f_z} dx - \frac{f_y}{f_z} dy.
This is a partial differential equation to determine ##z## in terms of ##x## and ##y##.
 

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